So l just completed my data science specialization with John Hopkins University via coursera today. I am actually excited completing this study because l’m new to data science and l need an introduction to know where to go next in my career as a sr. data developer. For the past 10 months, l have been […]
Background Using devices such as Jawbone Up, Nike FuelBand, and Fitbit it is now possible to collect a large amount of data about personal activity relatively inexpensively. These type of devices are part of the quantified self movement – a group of enthusiasts who take measurements about themselves regularly to improve their health, to find […]
In this post, what I want to show is how the Machine Learning algorithms Random Forest, Boosted Trees and Linear Discriminant Analysis will compare to a stack or an ensemble of all of them together. Load the Alzheimer’s data using the following commands library(caret) library(gbm) set.seed(3433) library(AppliedPredictiveModeling) data(AlzheimerDisease) adData = data.frame(diagnosis,predictors) inTrain = createDataPartition(adData$diagnosis, p […]
The caret package (short for classi cation and regression training) contains functions to streamline the model training process for complex regression and classi cation problems. The package utilizes a number of R packages but tries not to load them all at package start-up1. The package “suggests” field includes 27 packages. caret loads packages as needed and assumes […]
